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BridgingIT-GmbH

xUnit은 AI 에이전트 테스트 프레임워크입니다

edpaget

현지화된 요약: $ARGUMENTS should be <roadmap-slug [phase-number]. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

kuboon

현지화된 요약: # metadata file Each skill directory should have .<skill-name .SKILL.md that will contain matadata. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

anthropics

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident ...

Senury

현지화된 요약: # Frontend Responsive This Skill provides Claude Code with specific guidance on how to adhere to coding standards as they relate to how it should handle frontend responsive.

ant-design

Generate a single-line commit message for ant-design by reading the projects git staged area and recent commit style. Use when the user asks for a commit message, says msg, commit msg, 写提交信息, or wants one-line text that covers all staged changes. Output should match the repositorys existing commit style and summarize all staged changes in one line.

vercel

This skill should be used when the user asks to update documentation for my changes, check docs for this PR, what docs need updating, sync docs with code, scaffold docs for this feature, document this feature, review docs completeness, add docs for this change, what documentation is affected, docs impact, or mentions docs/, docs/01-app, docs/02-pages, MDX, documentation update, API reference, .mdx files. Provides guided workflow for updating Next.js documentation based on code changes.

vercel-labs

Helps users discover and install agent skills when they ask questions like how do I do X, find a skill for X, is there a skill that can..., or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

huggingface

This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.

huggingface

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.

getsentry

agents-md 스킬은 AGENTS.md 파일을 생성 및 유지 보수하고, AI 에이전트 문서를 간결하게 유지합니다

brainsum

We should update the version number of the package before release.